New Advances of Vehicular Ad Hoc Networks (VANETs)

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Networks".

Deadline for manuscript submissions: closed (15 March 2020) | Viewed by 24608

Special Issue Editors


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Guest Editor
Virginia Modeling Analysis and Simulation Center (VMASC), Old Dominion University, Norfolk, VA, USA
Interests: vehicular networks; information-centric networking (ICN); named-data networking (NDN); sensor networks; underwater networks
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Mathematics and Computer Science, University of Ghardaia, Ghardaia, Algeria
Interests: trust and risk management; secure multihop communications; vehicular networks; named data networking (NDN); UAVs
Special Issues, Collections and Topics in MDPI journals
Department of Computer Science & IT, Sarhad University of Science and Information Technology, Peshawar, Pakistan
Interests: ad hoc and wireless networks; architecture designing for internet of things; communication protocols designing for smart cities and homes; and big data analytics

Special Issue Information

Dear Colleagues,

Vehicular ad hoc networks (VANETs) are one of the key enablers in the smart community. Therefore, much research has been directed towards VANETs from both industry and academia. The world’s largest automobile companies are continuously striving to introduce intelligence in automobiles through the convergence of cutting-edge sensing, communication, and control technologies. The main objective of all these research and development efforts is to realize a safe, economical, environment-friendly, and reliable transportation system.

A typical VANET involves several elements with sensing, control and/or communication capabilities, including road-side equipment, onboard units, hand-held devices, back-end control centers, and so forth. There are different communication technologies that cohere all the VANET elements to form a single intelligent system. Examples of those technologies include, but are not limited to, LTE-A, DSRC/WAVE, WiFi, and high data-rate 5G and beyond communication services. These technologies are used to communicate content within the network through vehicle-to-vehicle (V2V), vehicle-to-infrastructure (V2I), vehicle-to-pedestrian (V2P), and/or vehicle-to-everything (V2X) communication paradigms. Therefore, in this Special Issue, we seek contributions on the topics including, but not limited to the following topics:

  • Efficient and reliable communication in VANETs
  • Security and privacy protection in VANETs
  • Scalable data distribution in VANETs
  • Emerging VANET applications and prototypes.
  • Crowdsensing technologies and techniques for VANETs

Prof. Safdar H. Bouk
Dr. Chaker Abdelaziz Kerrache
Dr. Murad Khan
Guest Editors

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Keywords

  • VANETs
  • V2V, V2I, V2P
  • reliable communication
  • security and privacy
  • crowd sensing
  • emerging applications
  • communication and sensing technologies

Published Papers (3 papers)

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Research

21 pages, 1584 KiB  
Article
SSKM: Scalable and Secure Key Management Scheme for Group Signature Based Authentication and CRL in VANET
by Kiho Lim, Weihua Liu, Xiwei Wang and Jingon Joung
Electronics 2019, 8(11), 1330; https://doi.org/10.3390/electronics8111330 - 11 Nov 2019
Cited by 11 | Viewed by 2942
Abstract
The security in vehicular ad hoc networks (VANETs) has become a large consideration in safeguarding growing applications and intelligent transport systems. A group signature, a popular authentication approach for VANETs, can be implemented to protect vehicular communications against malicious users. However, the issue [...] Read more.
The security in vehicular ad hoc networks (VANETs) has become a large consideration in safeguarding growing applications and intelligent transport systems. A group signature, a popular authentication approach for VANETs, can be implemented to protect vehicular communications against malicious users. However, the issue of securely distributing group keys to fast-moving vehicular nodes arises. The growing size of the certificate revocation list (CRL) has provided the corresponding complication in its management and distribution in VANETs. In this paper, an efficient key management protocol for group signature based authentication is proposed. A group is extended to a domain with various roadside units forming a hierarchical topology. Our proposed scheme provides a secure method to deliver group keys to vehicular nodes, ensuring the security requirements. Similarly, through utilizing the two Bloom filters in our hierarchical topology, an efficient and scalable vehicle revocation mechanism can be achieved that can minimize the CRL size. Our experiment results demonstrate a scalable, efficient, and secure key distribution scheme in vehicular networking. Moreover, an effective CRL management mechanism can be accomplished using the hierarchical topology. Full article
(This article belongs to the Special Issue New Advances of Vehicular Ad Hoc Networks (VANETs))
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28 pages, 7891 KiB  
Article
Road Accidents Detection, Data Collection and Data Analysis Using V2X Communication and Edge/Cloud Computing
by Kishwer Abdul Khaliq, Omer Chughtai, Abdullah Shahwani, Amir Qayyum and Jürgen Pannek
Electronics 2019, 8(8), 896; https://doi.org/10.3390/electronics8080896 - 14 Aug 2019
Cited by 43 | Viewed by 12469
Abstract
With the improvement in transportation infrastructure and in-vehicle technology in addition to a meteoric increase in the total number of commercial and non-commercial vehicles on the road, traffic accidents may occur, which usually cause a high death toll. More than half of these [...] Read more.
With the improvement in transportation infrastructure and in-vehicle technology in addition to a meteoric increase in the total number of commercial and non-commercial vehicles on the road, traffic accidents may occur, which usually cause a high death toll. More than half of these deaths occur due to a delayed response by medical care providers and rescue authorities. The chances of survival of an accident victim could increase drastically if immediate medical assistance is provided at an accident location. This work proposes a low-cost accident detection and notification system, which utilizes a multi-tier IoT-based vehicular environment; principally, it uses V2X Communication and Edge/Cloud computing. In this work, vehicles are equipped with an On-Board Unit (OBU) in addition to mechanical sensors (accelerometer, gyroscope) for reliable accident detection along with a Global Positioning System (GPS) module for identification of accident location. In addition to this, a camera module is implanted on the vehicle to capture the moment when an accident takes place. In order to facilitate inter-vehicle communication (IVC), OBU in each vehicle incorporates a wireless networking interface. Once an accident occurs, a vehicle detects it and generates an alert message. It then sends the message along with the accident location to an intermediate device, placed at the edge of the vehicular network, and therefore called an edge device. Upon receiving the notification, this edge device finds the nearest hospital and makes a request for an ambulance to be dispatched immediately. It also performs some preprocessing of data and effectively acts as a bridge between the sensors installed inside the vehicle and the distant server deployed in the cloud. A significant issue that the traffic authorities are currently facing is the real-time visualization of data obtained through such environments. Wireless interfaces are usually capable of forwarding real-time sensor data; however, this feature is not yet commercially available in the OBU of the vehicle; therefore, practical implementation is carried out using the Internet of things (IoT) in order to create a network among the vehicles, the edge node, and the central server. By performing analysis on the adequate acquired data of road accidents, the constructive plans of action can be devised that may limit the death toll. In order to assist the relevant authorities in performing wholesome analysis of refined and reliable data, a dynamic front-end visualization is proposed, which is hosted in the cloud. The generated charts and graphs help the personnel at relevant organizations to make appropriate decisions based on the conclusive analysis of processed and stored data. Full article
(This article belongs to the Special Issue New Advances of Vehicular Ad Hoc Networks (VANETs))
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18 pages, 2620 KiB  
Article
Adaptive Transmit Power Control Algorithm for Sensing-Based Semi-Persistent Scheduling in C-V2X Mode 4 Communication
by Amir Haider and Seung-Hoon Hwang
Electronics 2019, 8(8), 846; https://doi.org/10.3390/electronics8080846 - 29 Jul 2019
Cited by 40 | Viewed by 7147
Abstract
For cellular-based vehicle-to-everything (C-V2X) communication, vital information about status and intention is periodically broadcasted by each vehicle using the cooperative awareness message (CAM) service. In C-V2X, the task of resource allocation can either be carried out in a centralized manner by the network, [...] Read more.
For cellular-based vehicle-to-everything (C-V2X) communication, vital information about status and intention is periodically broadcasted by each vehicle using the cooperative awareness message (CAM) service. In C-V2X, the task of resource allocation can either be carried out in a centralized manner by the network, termed Mode 3, or by the vehicles themselves in a distributed manner without any core network support, termed Mode 4. Mode 4 scheduling is accomplished by employing sensing-based semi-persistent scheduling (SB-SPS), where the vehicles sense the medium and identify the best time-frequency resource combination for transmission of the CAM. Focusing on Mode 4 in this paper, we present a comprehensive analysis of the impact of variations in the transmit power of the vehicle on the performance of SB-SPS for C-V2X communications in various traffic scenarios through simulations. An adaptive-transmit power control (A-TPC) algorithm is presented to improve the quality of service for various large-scale traffic scenarios, where each vehicle uses real-time channel-sensing information to adjust the transmit power in order to avoid interference with neighbouring vehicles. The results demonstrate that our proposed algorithm outperforms the conventional TPC schemes. Full article
(This article belongs to the Special Issue New Advances of Vehicular Ad Hoc Networks (VANETs))
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